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crossrefInternational Journal of Molecular Sciences2024-11-28Cited by 2

Special Issue “Machine Learning and Bioinformatics in Human Health and Disease”—Chances and Challenges

Andreas Leiherer

Machine learning (ML) and bioinformatics are catalyzing a new era in biomedical research, enabling unprecedented insights into the complex systems that govern human health and disease [...]

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crossrefInternational Journal of Molecular Sciences2026-07-05

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The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as one of the most significant global health crises in recent history. Coronaviruses are a diverse group of RNA viruses classified into alpha,…

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crossrefInternational Journal of Molecular Sciences2024-09-11Cited by 5

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crossrefInternational Journal of Molecular Sciences2022-10-29Cited by 32

What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health

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crossrefInternational Journal of Molecular Sciences2025-02-27Cited by 5

Therapeutic Mechanisms of Medicine Food Homology Plants in Alzheimer’s Disease: Insights from Network Pharmacology, Machine Learning, and Molecular Docking

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Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by a gradual decline in cognitive function. Currently, there are no effective treatments for this condition. Medicine food homology plants have gained increasing attention as potential natural trea…

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crossrefInternational Journal of Molecular Sciences2026-05-22

Exploring the Toxicological Relationship Between Diisononyl Cyclohexane-1,2-dicarboxylate and Atherosclerosis Through Network Toxicology, Machine Learning, and Multi-Dimensional Bioinformatics

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This study integrates multidimensional computational approaches—network toxicology, machine learning, molecular docking, and molecular dynamics simulation—to systematically elucidate the toxic mechanism by which the environmental pollutant diisononyl cyclohexane-1,2-dicarboxylate…

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